基于SAR与光学遥感数据相结合的农作物种植类型识别研究
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江珊, 王春, 宋宏利, 刘玉锋
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A study of crop planting type recognition based on SAR and optical remote sensing data
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JIANG Shan, WANG Chun, SONG Hongli, LIU Yufeng
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表5 分类精度评价
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Tab.5 Classification accuracy evaluation
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类别 | 光学 | SAR | HSV融合 | Gram-Schmidt 融合 | 小麦用户精度/% | 41.24 | 27.84 | 80.36 | 63.66 | 油菜用户精度/% | 37.10 | 14.67 | 96.79 | 69.32 | 小麦漏分误差/% | 43.04 | 51.17 | 12.52 | 24.51 | 油菜漏分误差/% | 64.65 | 73.26 | 30.61 | 41.79 | 小麦制图精度/% | 56.96 | 48.83 | 87.48 | 75.49 | 油菜制图精度/% | 35.35 | 26.74 | 69.39 | 58.21 | 总体分类精度/% | 73.02 | 58.57 | 86.29 | 96.20 | Kappa系数 | 0.659 7 | 0.477 2 | 0.816 4 | 0.949 0 |
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